8916544
1935
Hilde Weerts
14
Supervised Classification
8315
sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.RandomForestClassifier)(1)
6853560
categorical_features
[]
7644
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
7644
handle_unknown
"ignore"
7644
n_values
"auto"
7644
sparse
true
7644
threshold
0.0
7645
bootstrap
false
7684
class_weight
null
7684
criterion
"gini"
7684
max_depth
null
7684
max_features
0.006749864620427037
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
18
7684
min_samples_split
14
7684
min_weight_fraction_leaf
0.0
7684
n_estimators
500
7684
n_jobs
1
7684
oob_score
false
7684
random_state
1
7684
verbose
0
7684
warm_start
false
7684
memory
null
8315
axis
0
8316
categorical_features
[]
8316
copy
true
8316
fill_empty
0
8316
missing_values
"NaN"
8316
strategy
"mean"
8316
strategy_nominal
"most_frequent"
8316
verbose
0
8316
openml-python
Sklearn_0.19.1.
study_98
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
18748724
description
https://api.openml.org/data/download/18748724/description.xml
-1
18748725
predictions
https://api.openml.org/data/download/18748725/predictions.arff
area_under_roc_curve
0.9637261111111111 [0.999919,0.933603,0.9916,0.977708,0.941142,0.985883,0.919178,0.987394,0.985619,0.915214]
average_cost
0
f_measure
0.7737003606119973 [0.992443,0.697201,0.915842,0.841026,0.737705,0.851259,0.443804,0.832579,0.913753,0.511392]
kappa
0.7566666666666667
kb_relative_information_score
868.0323529942497
mean_absolute_error
0.13877069976847933
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7735912354828034 [1,0.709845,0.906863,0.863158,0.813253,0.78481,0.52381,0.760331,0.855895,0.517949]
predictive_accuracy
0.7809999999999999
prior_entropy
3.321928094887362
recall
0.781 [0.985,0.685,0.925,0.82,0.675,0.93,0.385,0.92,0.98,0.505]
relative_absolute_error
0.7709483320470837
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.2409235222336631
root_relative_squared_error
0.8030784074455313
total_cost
0
area_under_roc_curve
0.9665277777777778 [0.999722,0.942778,0.990278,0.971667,0.956667,0.999444,0.869167,0.986944,0.997222,0.951389]
area_under_roc_curve
0.9627777777777777 [1,0.946111,0.986944,0.975556,0.9125,0.989722,0.933611,0.986944,0.968611,0.927778]
area_under_roc_curve
0.9617500000000001 [1,0.926944,0.995,0.974722,0.935,0.988611,0.915,0.976944,0.999722,0.905556]
area_under_roc_curve
0.9703611111111112 [1,0.934722,0.998611,0.993889,0.996944,0.990278,0.938333,0.978056,0.956111,0.916667]
area_under_roc_curve
0.9591666666666667 [1,0.888889,0.986667,0.961389,0.930278,0.989722,0.914722,0.988889,0.998611,0.9325]
area_under_roc_curve
0.962972222222222 [0.999722,0.934167,0.998889,0.948611,0.949722,0.973056,0.924444,0.995556,1,0.905556]
area_under_roc_curve
0.9629722222222223 [1,0.926944,0.989167,0.991111,0.915833,0.957222,0.951667,0.990278,0.998056,0.909444]
area_under_roc_curve
0.9726111111111112 [1,0.950278,0.996944,0.992222,0.934444,0.995278,0.933889,0.991111,0.996944,0.935]
area_under_roc_curve
0.9681944444444445 [1,0.921944,0.999722,0.988056,0.972222,0.980278,0.931667,0.995833,0.999444,0.892778]
area_under_roc_curve
0.9550555555555558 [1,0.967222,0.974444,0.976389,0.919722,0.997778,0.891944,0.99,0.943333,0.889722]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.7395398952029333 [0.974359,0.769231,0.8,0.833333,0.820513,0.930233,0.277778,0.75,0.851064,0.388889]
f_measure
0.7523173213473838 [1,0.702703,0.926829,0.871795,0.666667,0.837209,0.363636,0.790698,0.863636,0.5]
f_measure
0.7774628806865649 [0.974359,0.590909,0.923077,0.789474,0.769231,0.755556,0.5625,0.857143,0.952381,0.6]
f_measure
0.7938157304188218 [0.974359,0.611111,0.974359,0.837209,0.761905,0.863636,0.5625,0.829268,0.904762,0.619048]
f_measure
0.7392585834201563 [1,0.486486,0.918919,0.829268,0.606061,0.791667,0.529412,0.76,0.930233,0.540541]
f_measure
0.7931390227993655 [1,0.810811,0.930233,0.789474,0.842105,0.844444,0.375,0.909091,0.930233,0.5]
f_measure
0.786590512784494 [1,0.7,0.894737,0.878049,0.742857,0.837209,0.585366,0.851064,0.952381,0.424242]
f_measure
0.8317565488715143 [1,0.809524,0.952381,0.871795,0.727273,0.878049,0.634146,0.837209,0.97561,0.631579]
f_measure
0.78548435482646 [1,0.736842,1,0.9,0.685714,0.863636,0.285714,0.888889,0.952381,0.541667]
f_measure
0.7266361309253146 [1,0.744186,0.85,0.8,0.722222,0.926829,0.210526,0.851064,0.837209,0.324324]
kappa
0.7222222222222222
kappa
0.7333333333333334
kappa
0.7555555555555555
kappa
0.7777777777777778
kappa
0.7222222222222222
kappa
0.7833333333333334
kappa
0.7722222222222223
kappa
0.8166666666666667
kappa
0.7777777777777778
kappa
0.7055555555555556
kb_relative_information_score
84.71604469630553
kb_relative_information_score
89.66065072924397
kb_relative_information_score
84.02545707811163
kb_relative_information_score
85.9065378786091
kb_relative_information_score
85.40942283142282
kb_relative_information_score
88.7864091583567
kb_relative_information_score
87.87673329860982
kb_relative_information_score
88.38652300342689
kb_relative_information_score
88.73995784003085
kb_relative_information_score
84.5246164801341
mean_absolute_error
0.14025994841594844
mean_absolute_error
0.13657763607708567
mean_absolute_error
0.14088586924803598
mean_absolute_error
0.13994330660484056
mean_absolute_error
0.13875032373916388
mean_absolute_error
0.1371593185473218
mean_absolute_error
0.1376679598633226
mean_absolute_error
0.13909482841188178
mean_absolute_error
0.13745164692584577
mean_absolute_error
0.13991615985134728
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
precision
0.7399384905500466 [1,0.789474,0.72,0.9375,0.842105,0.869565,0.3125,0.75,0.740741,0.4375]
precision
0.7547482221193352 [1,0.764706,0.904762,0.894737,0.75,0.782609,0.461538,0.73913,0.791667,0.458333]
precision
0.7869114832535884 [1,0.541667,0.947368,0.833333,0.789474,0.68,0.75,0.818182,0.909091,0.6]
precision
0.8003117353660832 [1,0.6875,1,0.782609,0.727273,0.791667,0.75,0.809524,0.863636,0.590909]
precision
0.7520728759731319 [1,0.529412,1,0.809524,0.769231,0.678571,0.642857,0.633333,0.869565,0.588235]
precision
0.7937038931514635 [1,0.882353,0.869565,0.833333,0.888889,0.76,0.5,0.833333,0.869565,0.5]
precision
0.7910584423627902 [1,0.7,0.944444,0.857143,0.866667,0.782609,0.571429,0.740741,0.909091,0.538462]
precision
0.8377478737890637 [1,0.772727,0.909091,0.894737,0.923077,0.857143,0.619048,0.782609,0.952381,0.666667]
precision
0.7942821067821068 [1,0.777778,1,0.9,0.8,0.791667,0.5,0.8,0.909091,0.464286]
precision
0.7294760247094007 [1,0.695652,0.85,0.933333,0.8125,0.904762,0.222222,0.740741,0.782609,0.352941]
predictive_accuracy
0.75
predictive_accuracy
0.76
predictive_accuracy
0.78
predictive_accuracy
0.8
predictive_accuracy
0.75
predictive_accuracy
0.805
predictive_accuracy
0.795
predictive_accuracy
0.835
predictive_accuracy
0.8
predictive_accuracy
0.735
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
recall
0.75 [0.95,0.75,0.9,0.75,0.8,1,0.25,0.75,1,0.35]
recall
0.76 [1,0.65,0.95,0.85,0.6,0.9,0.3,0.85,0.95,0.55]
recall
0.78 [0.95,0.65,0.9,0.75,0.75,0.85,0.45,0.9,1,0.6]
recall
0.8 [0.95,0.55,0.95,0.9,0.8,0.95,0.45,0.85,0.95,0.65]
recall
0.75 [1,0.45,0.85,0.85,0.5,0.95,0.45,0.95,1,0.5]
recall
0.805 [1,0.75,1,0.75,0.8,0.95,0.3,1,1,0.5]
recall
0.795 [1,0.7,0.85,0.9,0.65,0.9,0.6,1,1,0.35]
recall
0.835 [1,0.85,1,0.85,0.6,0.9,0.65,0.9,1,0.6]
recall
0.8 [1,0.7,1,0.9,0.6,0.95,0.2,1,1,0.65]
recall
0.735 [1,0.8,0.85,0.7,0.65,0.95,0.2,1,0.9,0.3]
relative_absolute_error
0.7792219356441589
relative_absolute_error
0.758764644872699
relative_absolute_error
0.7826992736002008
relative_absolute_error
0.7774628144713374
relative_absolute_error
0.7708351318842446
relative_absolute_error
0.7619962141517885
relative_absolute_error
0.7648219992406818
relative_absolute_error
0.7727490467326774
relative_absolute_error
0.763620260699144
relative_absolute_error
0.7773119991741525
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_squared_error
0.2432358182277847
root_mean_squared_error
0.23815812102193337
root_mean_squared_error
0.2436783590691217
root_mean_squared_error
0.24219807477888589
root_mean_squared_error
0.24173032875584405
root_mean_squared_error
0.2384582730641792
root_mean_squared_error
0.23963678710977532
root_mean_squared_error
0.24032510558171297
root_mean_squared_error
0.2389545800527702
root_mean_squared_error
0.2427803418758895
root_relative_squared_error
0.8107860607592827
root_relative_squared_error
0.793860403406445
root_relative_squared_error
0.8122611968970728
root_relative_squared_error
0.80732691592962
root_relative_squared_error
0.8057677625194806
root_relative_squared_error
0.7948609102139311
root_relative_squared_error
0.7987892903659183
root_relative_squared_error
0.801083685272377
root_relative_squared_error
0.7965152668425678
root_relative_squared_error
0.8092678062529655
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
usercpu_time_millis
4454.089917999227
usercpu_time_millis
4502.1246039978
usercpu_time_millis
4505.895484999201
usercpu_time_millis
4437.298154996824
usercpu_time_millis
4413.36444800254
usercpu_time_millis
4459.711078998225
usercpu_time_millis
4378.100220001215
usercpu_time_millis
4330.3475879984035
usercpu_time_millis
4297.659923999163
usercpu_time_millis
4380.153427002369
usercpu_time_millis_testing
92.2438620000321
usercpu_time_millis_testing
91.76368800035561
usercpu_time_millis_testing
96.7160000000149
usercpu_time_millis_testing
93.43124499719124
usercpu_time_millis_testing
92.02243400068255
usercpu_time_millis_testing
93.57622899915441
usercpu_time_millis_testing
93.49008100252831
usercpu_time_millis_testing
92.94300100009423
usercpu_time_millis_testing
93.23398499691393
usercpu_time_millis_testing
94.33526100110612
usercpu_time_millis_training
4361.8460559991945
usercpu_time_millis_training
4410.360915997444
usercpu_time_millis_training
4409.179484999186
usercpu_time_millis_training
4343.866909999633
usercpu_time_millis_training
4321.342014001857
usercpu_time_millis_training
4366.134849999071
usercpu_time_millis_training
4284.610138998687
usercpu_time_millis_training
4237.404586998309
usercpu_time_millis_training
4204.425939002249
usercpu_time_millis_training
4285.818166001263